The Pangeo project began as a community effort to tackle big data in the geosciences. Initially, the approach was to work at the software level, integrating and improving open source libraries like Xarray, Dask and Jupyter to work better on big data. However, in the years since the project began, the focus of the Pangeo community has branched out to include a cloud computing platform, open cloud-optimized dataset curation, machine learning, education and more. As a result, Pangeo has become a coordination point for many of the fundamental building blocks of open science. In this presentation, I will give an overview of how the focus of the Pangeo Project has evolved from open source software to open science, detailing some of the key milestones along the way. I’ll also highlight a range of applications, from federal agencies to academic labs to tech startups, that are utilizing advances brought on by the Pangeo project to enable more effective research and science-based action on climate change and other social and environmental issues. I’ll end with some perspectives on where the Pangeo project and the broader open science community should go from here in order to effectively address the pressing issues facing our planet and our society.